It’s inspiring to see how customers continue to reimagine how they work with the help of AI, which is more important today than ever. Our customers are finding innovative ways to deliver crisis management solutions, drive cost-savings, redefine customer engagement, and accelerate decision-making.
Here are some notable examples we’ve recently seen:
Scaling crisis management
On the frontlines, first responders rely on Azure AI to scale their triage process to address the overwhelming number of people needing care and to ease volume in the system. For example, healthcare providers have created more than 1,400 bots using our Healthcare Bot service, helping more than 27 million people access critical healthcare information. The U.S. Centers for Disease Control and Prevention released a COVID-19 assessment bot that is powered by Azure Bot Service. Motorola Solutions uses Azure Bot Service, as well as speech and language services, in its own voice assistant for public safety, ViQi, to help 911 dispatchers and first responders focus on what matters most.
Azure AI is also helping customers optimize their operations to reduce costs. KPMG built a risk and fraud analytics solution using our speech and language services to streamline call center transcription and translation—cutting time,
Digital transformation in manufacturing has the potential to increase annual global economic value by $4.5 trillion according to the IDC MarketScape.iWith so much upside, manufacturers are looking at how technologies like IoT, machine learning, and artificial intelligence (AI) can be used to optimize supply chains, improve factory performance, accelerate product innovation, and enhance service offerings.
Digital transformation starts by collecting data from machines on the plant floor, assets in the supply chain, or products being used by customers. This data can be combined with other business data and then modeled and analyzed to gain actionable insights.
Let’s take a look at three manufacturers—Festo, Kao, and AkzoNobel—and see how each one is using technologies like IoT, machine learning, and AI to accelerate their digital transformation.
Providing predictive maintenance as a service
Based in Germany, Festo sells electric and pneumatic drive solutions to 300,000 customers in 176 countries. The company’s goal is to increase uptime for customers by providing predictive maintenance offerings as software as a service (SaaS) offerings. Festo’s strategy is to connect machines to the cloud with Azure IoT and then enable customers to visualize data along the entire value chain.
One of the first SaaS offerings is Festo
Incremental enrichment is a new feature of Azure Cognitive Search that brings a declarative approach to indexing your data. When incremental enrichment is turned on, document enrichment is performed at the least cost, even as your skills continue to evolve. Indexers in Azure Cognitive Search add documents to your search index from a data source. Indexers track updates to the documents in your data sources and update the index with the new or updated documents from the data source.
Incremental enrichment is a new feature that extends change tracking from document changes in the data source to all aspects of the enrichment pipeline. With incremental enrichment, the indexer will drive your documents to eventual consistency with your data source, the current version of your skillset, and the indexer.
Indexers have a few key characteristics:
Data source specific. State aware. Can be configured to drive eventual consistency between your data source and index.
In the past, editing your skillset by adding, deleting, or updating skills left you with a sub-optimal choice. Either rerun all the skills on the entire corpus, essentially a reset on your indexer, or tolerate version drift where documents in your index are enriched with different versions of
https://azure.microsoft.com/blog/extending-the-power-of-azure-ai-to-microsoft-365-users/Today, Yusuf Mehdi, Corporate Vice President of Modern Life and Devices, announced the availability of new Microsoft 365 Personal and Family subscriptions. In his blog, he shared a few examples of how Microsoft 365 is innovating to deliver experiences powered READ MORE
We’re expanding the Microsoft Azure Stack Edge with NVIDIA T4 Tensor Core GPU preview during the GPU Technology Conference (GTC Digital). Azure Stack Edge is a cloud-managed appliance that brings Azure’s compute, storage, and machine learning capabilities to the edge for fast local analysis and insights. With the included NVIDIA GPU, you can bring hardware acceleration to a diverse set of machine learning (ML) workloads.
What’s new with Azure Stack Edge
At Mobile World Congress in November 2019, we announced a preview of the NVIDIA GPU version of Azure Stack Edge and we’ve seen incredible interest in the months that followed. Customers in industries including retail, manufacturing, and public safety are using Azure Stack Edge to bring Azure capabilities into the physical world and unlock scenarios such as the real-time processing of video powered by Azure Machine Learning.
These past few months, we’ve taken our customers’ feedback to make key improvements and are excited to make our preview available to even more customers today.
Azure Machine Learning: Build and train your model in the cloud, then deploy it to the edge for FPGA or
The world of supercomputing is evolving. Work once limited to high-performance computing (HPC) on-premises clusters and traditional HPC scenarios, is now being performed at the edge, on-premises, in the cloud, and everywhere in between. Whether it’s a manufacturer running advanced simulations, an energy company optimizing drilling through real-time well monitoring, an architecture firm providing professional virtual graphics workstations to employees who need to work remotely, or a financial services company using AI to navigate market risk, Microsoft’s collaboration with NVIDIA makes access to NVIDIA graphics processing units (GPU) platforms easier than ever.
These modern needs require advanced solutions that were traditionally limited to a few organizations because they were hard to scale and took a long time to deliver. Today, Microsoft Azure delivers HPC capabilities, a comprehensive AI platform, and the Azure Stack family of hybrid and edge offerings that directly address these challenges.
This year during GTC Digital, we’re spotlighting some of the most transformational applications powered by NVIDIA GPU acceleration that highlight our commitment to edge, on-prem, and cloud computing. Registration is free, so sign up to learn how Microsoft is powering transformation.
Visualization and GPU workstations
Azure enables a wide range of visualization workloads, which are critical
Microsoft 365 applications are so commonplace that it’s easy to overlook some of the amazing capabilities that are enabled with breakthrough technologies, including artificial intelligence (AI). Microsoft Outlook is an email client that helps you work efficiently with email, calendar, contacts, tasks, and more in a single place.
To help users be more productive and deliberate in their actions while emailing, the web version of Outlook and the Outlook for iOS and Android app have introduced suggested replies, a new feature powered by Azure Machine Learning service. Now when you receive an email message that can be answered with a quick response, Outlook on the web and the Outlook mobile suggest three response options that you can use to reply with only a couple of clicks or taps, helping people communicate in both their workplace and personal life, by reducing the time and effort involved in replying to an email.
The developer team behind suggested replies is comprised of data scientists, designers, and machine learning engineers with diverse backgrounds who are working to improve the lives of Microsoft Outlook users by expediting and simplifying communications. They are at the forefront of applying cutting-edge natural language processing (NLP) and machine
https://azure.microsoft.com/blog/microsoft-connected-vehicle-platform-trends-and-investment-areas/This post was co-authored by the extended Azure Mobility Team. The past year has been eventful for a lot of reasons. At Microsoft, we’ve expanded our partnerships, including Volkswagen, LG Electronics, Faurecia, TomTom, and more, and taken the wraps off READ MORE
At Microsoft, building a future that we can all thrive in is at the center of everything we do. On January 16, as part of the announcement that Microsoft will be carbon negative by 2030, we discussed how advances in human prosperity, as measured by GDP growth, are inextricably tied to the use of energy. Microsoft has committed to deploy $1 billion into a new climate innovation fund to accelerate the development of carbon reduction and removal technologies that will help us and the world become carbon negative. The Azure IoT team continues to invest in the platforms and tools that enable solution builders to deliver new energy solutions, customers to empower their workforce, optimize digital operations and build smart, connected, cities, vehicles, and buildings.
Earlier, Microsoft committed $50 Million through Microsoft AI for Earth that provides technology, resources, and expertise into the hands of those working to solve our most complex global environmental challenges. Challenges like helping customers around the world meet their energy and sustainability commitments. Our partnership with Vattenfall illustrates how we will power new Swedish datacenter locations with renewable energy and our partnership with E.ON who manages low-voltage distribution grids is challenging the limits of traditional
https://azure.microsoft.com/blog/creating-a-more-accessible-world-with-azure-ai/At Microsoft, we are inspired by how artificial intelligence is transforming organizations of all sizes, empowering them to reimagine what’s possible. AI has immense potential to unlock solutions to some of society’s most pressing challenges. One challenge is that according READ MORE